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Paper Citation Record · LEDGER

Noisy Annotations in Semantic Segmentation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.10891.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.10891 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:29:10.644637Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fe85bede-c671-4fbc-a9e6-d13d8f8d5544 · inbound

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions cites this paper.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Noisy Annotations in Semantic Segmentation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T05:29:10.644637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:29:10.644637Z digest=sha256:e6dc72b8182d6b6265ffa1b8507c299718986ecf436c40ae3092b30e0ec5ad04

Observation d07ab7a1-8af3-4c84-b2b5-be47daec294c · inbound

A Novel Method to Evaluate Models on Unreliable, Noisy and Inconsistent Labels: Adaptive Resolution Label Aggregation (ARLA) cites this paper.

A Novel Method to Evaluate Models on Unreliable, Noisy and Inconsistent Labels: Adaptive Resolution Label Aggregation (ARLA) Noisy Annotations in Semantic Segmentation

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-14T06:20:16.775726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-14T06:14:56.071808Z digest=sha256:4756ceeae6a14546ebaad355921fc29de119dd4e3a677769340fd5c12ec32869